Evaluation of geographic, geomorphic and human influences on Great Lakes wetland indicators: A multi-assemblage approach

Brazner, John C.; Danz, Nicholas P.; Niemi, Gerald J.; Regal, Ronald R.; Trebitz, Anett S.; Howe, Robert W.; Hanowski, JoAnn M.; Johnson, Lucinda B.; Ciborowski, Jan J. H.; Johnston, Carol A.; Reavie, Euan D.; Brady, Valerie; Sgro, Gerald V.

doi:10.1016/j.ecolind.2006.07.001

Cited by 94 publications

(59 citation statements)

References 72 publications

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“…Across the Great Lakes basin, bluegill (Lepomis macrochirus) and carp (Cyprinus carpio)+goldfish (Carassius auratus) were found to be consistent indicators of disturbance, while rock bass (Ambloplites rupestris) were found to be associated with less disturbance (Brazner et al 2007a(Brazner et al , 2007b. Two community metrics, the proportion of turbidityintolerant fish species and the proportion of nestguarding species, also were found to be associated with relatively low amounts of disturbance (Brazner et al, 2007a).…”

Section: Fish and Invertebratesmentioning

confidence: 90%

“…Two community metrics, the proportion of turbidityintolerant fish species and the proportion of nestguarding species, also were found to be associated with relatively low amounts of disturbance (Brazner et al, 2007a).…”

Section: Fish and Invertebratesmentioning

confidence: 99%

“…Vegetation cover data were used to compute an FQI for each of the 14 sites (Bourdaghs et al, 2006). Cover data for individual plant species were analyzed using hierarchical partitioning to identify taxa sensitive to anthropogenic stress, using methods described in Brazner et al (2007a). These candidate taxa for Lake Huron wetlands were used in a stepwise multiple regression against the stress index developed for site selection by Danz et al (2007) to create a multi-taxa vegetation indicator (Johnston et al, 2008).…”

Section: Wetland Plantsmentioning

confidence: 99%

“…In a previous analysis, we found that lake identification was an important classification factor to consider in indicator development (Brazner et al, 2007a). Included in the data gathered here are biotic communities for birds, diatoms, fish and macroinvertebrates, and wetland vegetation.…”

Section: Introductionmentioning

confidence: 99%

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Development of ecological indicators for the U.S. Great Lakes coastal region – A summary of applications in Lake Huron

Niemi

Brady

Brown

et al. 2009

Aquatic Ecosystem Health &Amp; Management

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Brady, Valerie J.; Brown, Terry N.; Ciborowski, Jan J.H.; Danz, Nicholas P.; Ghioca, Dana M.; Hanowski, JoAnn M.; Hollenhorst, Tom P.; Howe, Robert W.; Johnson., Lucinda B.; Johnston, Carol A.; and Reavie, Euan D., "Development of ecological indicators for the U.S. Great Lakes coastal region -A summary of applications in Lake Huron" (2009 Niemi et al. / Aquatic Ecosystem Health and Management 12 (2009) [77][78][79][80][81][82][83][84][85][86][87][88][89] useful indicators of the ecological condition of the Lake Huron coast. The ecological indicators provide a baseline on selected conditions for the U.S. Lake Huron coastal region and a means to detect change over time.

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Section: Fish and Invertebratesmentioning

confidence: 90%

Section: Fish and Invertebratesmentioning

confidence: 99%

Section: Wetland Plantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of ecological indicators for the U.S. Great Lakes coastal region – A summary of applications in Lake Huron

Niemi

Brady

Brown

et al. 2009

Aquatic Ecosystem Health &Amp; Management

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“…Human activities have exploited this resource heavily, and consequently severely deteriorated freshwater ecosystems. Hydrological changes, physical disturbances, point and non-point sources of pollution, from both rural and urban activities, are all examples of processes responsible for the large-scale deterioration of freshwater systems and lentic waters, such as, for instance, reservoirs (Dziock et al, 2006;Brazner et al, 2007;Danz et al, 2007). Reservoirs are artificial lentic water bodies, generally, associated with multiple objectives for human benefits such as water supply, irrigation, hydroelectric power and recreation.…”

Section: Introductionmentioning

confidence: 99%

Ecological relationships between phytoplankton communities and different spatial scales in European reservoirs: implications at catchment level monitoring programmes

et al. 2009

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Phytoplankton communities are structured by factors acting over temporal and spatial scales. Identifying which factors are driving spatial patterns in aquatic communities is the central aim of ecology. In this study, data sets of phytoplankton communities and environmental data of two Portuguese reservoirs types (lowland ''riverine reservoirs'' and higher altitude ''artificial lake reservoirs'') were used to determine the importance of environmental variables at different spatial (geographical, regional and local) and time scales (seasons, years) on the community structure. In all the data sets, the multivariate ordination technique Canonical Correspondence Analysis (CCA) showed that regional and local scales explained the majority (9-18% and 13-19%, respectively) of the taxa variance. However, for ''riverine reservoirs'', time variables were more important, explaining 27% of the variability in phytoplankton assemblages. Variance partitioning was used to assess the individual importance of the three spatial scales and time for the community structure of the two reservoir types. The majority of among-site variability (5.9-21.4%) was accounted for by time variables, with local, regional, and geographical scale variables accounting for 3.3-5.6%, 3.7-4.5% and 2.6-2.9%, respectively. The effects of different spatial scales on phytoplankton communities were clearly interrelated; thus, implying that phytoplankton assemblages are capable of detecting stress from catchment to site scales.Handling editor: J. Padisak Electronic supplementary material The online version of this article

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Decision support for aquatic restoration based on species‐specific responses to disturbance

McKenna

Riseng

Wehrly

2022

Ecology and Evolution

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Disturbances to aquatic habitats are not uniformly distributed within the Great Lakes and acute effects can be strongest in nearshore areas where both landscape and within lake effects can have strong influence. Furthermore, different fish species respond to disturbances in different ways. A means to identify and evaluate locations and extent of disturbances that affect fish is needed throughout the Great Lakes.

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Evaluation of geographic, geomorphic and human influences on Great Lakes wetland indicators: A multi-assemblage approach

Cited by 94 publications

References 72 publications

Development of ecological indicators for the U.S. Great Lakes coastal region – A summary of applications in Lake Huron

Development of ecological indicators for the U.S. Great Lakes coastal region – A summary of applications in Lake Huron

Ecological relationships between phytoplankton communities and different spatial scales in European reservoirs: implications at catchment level monitoring programmes

Decision support for aquatic restoration based on species‐specific responses to disturbance

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